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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rudinac, M. Jonker, P.P. |
| Copyright Year | 2010 |
| Abstract | In this paper we present a scene exploration method for the identification of interest regions in unknown indoor environments and the position estimation of the objects located in those regions. Our method consists of two stages: First, we generate a saliency map of the scene based on the spectral residual of three color channels and interest points are detected in this map. Second, we propose and evaluate a method for the clustering of neighboring interest regions, the rejection of outliers and the estimation of the positions of potential objects. Once the location of objects in the scene is known, recognition of objects/object classes can be performed or the locations can be used for grasping the object. The main contribution of this paper lies in a computationally inexpensive method for the localization of multiple salient objects in a scene. The performance obtained on a dataset of indoor scenes shows that our method performs good, is very fast and hence highly suitable for real-world applications, such as mobile robots and surveillance. |
| Starting Page | 404 |
| Ending Page | 407 |
| File Size | 1396622 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424475421 |
| ISSN | 10514651 |
| e-ISBN | 9781424475414 |
| DOI | 10.1109/ICPR.2010.107 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-23 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Kernel Visualization Databases Three dimensional displays Mobile robots Pixel robotic applications saliency detection object localization interest points clustering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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